System and method for mobile data update

ABSTRACT

Data is shared between multiple enterprise data sources and mobile clients in a distributed system such that requests from a mobile client for enterprise data are received, the appropriate enterprise data sources that contain the requested data are determined, and the enterprise data is retrieved from the determined enterprise data sources. Data maintained at a mobile client is shared with multiple enterprise data sources. The mobile clients send requests to an application server for synchronization of data records maintained at the mobile client with corresponding data records at the enterprise data sources. The client request includes metadata that identifies enterprise data sources for the requested data records and that specifies a relational correspondence between the requested data. The mobile client data records and the corresponding data records of the enterprise data sources are compared to identify any data conflicts between the two sets of data records. Any identified data conflicts are resolved.

REFERENCE TO PRIORITY DOCUMENTS

This application claims the benefit of priority of co-pending U.S. Provisional Patent Application Ser. No. 60/442,810 entitled “Context Sensitive Data Update System and Method” filed Jan. 23, 2003; and U.S. Provisional Patent Application Ser. No. 60/461,588 entitled “Context Sensitive Data and Software Update System and Method” filed Apr. 7, 2003. Priority of the filing dates are hereby claimed, and the disclosures of these Provisional Patent Applications are hereby incorporated by reference.

BACKGROUND

1. Field of the Invention

The present invention relates generally to mobile computing systems and, more particularly, to data management and data deployment in mobile computing systems.

2. Description of the Related Art

In recent years, many resources have been invested in the automation of back office and front office processes. For example, large sums of money have been spent on developing and purchasing sophisticated customer relationship management (CRM) and enterprise resource planning (ERP) systems. Although many organizations found the systems burdensome to implement and difficult to integrate with existing legacy data systems, many companies realized significant savings and efficiencies. These improvements helped contribute to widespread technology-led productivity increases.

The office process automation efforts have typically been focused on many customer-critical processes, where an organization interfaces with customers, but the efforts have largely stopped at the company front door. More recently, many organizations are striving to bring the benefits of automation to the least automated segments of their workforce: their mobile employees. These workers play a major role in a customer's perception of an organization. Currently, the extent of automation and enforced business processes for such workers has been limited to mobile computing devices such as pagers and cell phones.

Mobile computing can provide substantial benefits for an information-driven enterprise that has field staff who meet customers. For example, field staff productivity can be radically increased, and critical business processes such as ordering and service scheduling can be dramatically accelerated, by providing field staff with mobile computing devices. Many enterprises who are early adopters of such mobile computing systems have discovered that these benefits often come with a substantial cost. Some of the major difficulties faced by adopters of mobile platforms involve integration with other data in the enterprise.

Enterprise data integration issues can arise because mobile applications often come in proprietary, closed architectures that impede integration with other data systems of the enterprise. For example, data in the enterprise might be maintained in four or five different sources. Some of the data sources include CRM systems, dispatch systems, ERP systems, and financial records systems. Each of these data sources can utilize a different data architecture, format, and protocol. The data being stored and the configuration of the data and access mechanisms are constantly changing. Many mobile computing systems create an interim datastore in which data from the various sources in the enterprise is collected. In this way, data from the different enterprise data sources, each with a different data architecture and format, can be collected in a single common database. The mobile users can access the enterprise data by accessing the interim datastore, rather than the actual enterprise data sources. The interim store, however, creates data update and conflict issues of its own. Synchronization operations and other safeguards must be performed frequently, to ensure that the data in the interim datastore is a faithful copy of the data in the enterprise data sources.

It is important for mobile users to have an efficient, reliable data update methodology on which they can rely. The data update process should not place a severe burden on the communications channels of the mobile devices, but must be capable of providing current data in a timely manner. Satisfying these requirements is complicated by the fact that mobile users can be limited by intermittent access to network data sources and typically use mobile devices with relatively modest computational power.

As a result of these difficulties and increased complexity, there is renewed emphasis on requiring mobile applications to be fully integrated with other applications and data, and to have greater functional capabilities. The present invention satisfies these needs.

SUMMARY

In accordance with the invention, data is utilized between multiple enterprise data sources and mobile clients in a distributed system such that requests from a mobile client for enterprise data are received, the appropriate enterprise data sources that contain the requested data are determined, and the enterprise data is retrieved from the determined enterprise data sources. Data maintained at a mobile client is shared with multiple enterprise data sources. The mobile clients send requests to an application server for synchronization of data records maintained at the mobile client with corresponding data records at the enterprise data sources. The client request includes metadata that identifies enterprise data sources for the requested data records and that specifies a relational correspondence between the requested data. The mobile client data records and the corresponding data records of the enterprise data sources are compared to identify any data conflicts between the two sets of data records. Any identified data conflicts are resolved.

Other features and advantages of the present invention should be apparent from the following description of the preferred embodiment, which illustrates, by way of example, the principles of the invention.

BRIEF DESCRIPTION OF THE DRAWINGS

The advantages of the invention will become more readily appreciated and become better understood by reference to the following detailed description, when taken in conjunction with the accompanying drawings, wherein:

FIG. 1 is a block diagram of a suitable computer system environment for a mobile enterprise platform constructed in accordance with the present invention.

FIG. 2 is a block diagram of the logical architecture of data in the mobile enterprise platform illustrated in FIG. 1.

FIG. 3 is a block diagram that illustrates the Connector interface between the enterprise data sources and the mobile client of FIG. 1

FIG. 4 illustrates a display screen for a “Queue” page that is generated at the mobile client of FIG. 1 to show update processing that results in a repair queue of customers who have requested a service call.

FIG. 5 is a flow diagram that illustrates an update process performed by the system illustrated in FIG. 1 for “Upload” and “Get Latest” processing.

FIG. 6 is a flow diagram that illustrates operations performed during the Upload process of FIG. 5.

FIG. 7 is a flow diagram that illustrates operations performed during the Get Latest process of FIG. 5.

FIG. 8 is a flow diagram of a conflict resolution process that is performed during the Upload processing of FIG. 5.

DETAILED DESCRIPTION

I. System Overview

The present invention provides a system in which data is utilized from multiple enterprise data sources to mobile clients executing mobile applications such that the mobile applications are integrated with the multiple enterprise data sources, and data updates and configuration changes can be distributed to and received from the mobile clients in real time, without using interim data storage. The elimination of an interim data storage facility avoids complicated synchronization and asynchronous data issues between the enterprise data sources and the mobile clients. Thus, data updates and system configuration updates for the mobile application can be communicated from the enterprise to the mobile clients, and from the mobile clients to the enterprise, in real time. No special synchronization operation is needed, as changes can be propagated through the system in real time.

II. System Platform

FIG. 1 is a block diagram of a suitable computer system environment 100 constructed in accordance with the present invention. FIG. 1 shows a mobile client device 102, such as a Personal Digital Assistant (PDA) device that operates in conjunction with the Microsoft PocketPC or Palm PDA operating systems. The mobile client device communicates over a network connection 104 with an application server 106 to request data from the server and receive data updates, provide new data, and receive configuration changes. It should be understood that multiple mobile clients 102 can communicate with the server 106. Only a single client device 102 is shown in FIG. 1 for the sake of drawing simplicity.

The mobile clients 102 consume the server-side connector web services for real time data retrieval from multiple enterprise data stores. Additionally, the mobile clients consume the server-side data manager web services for the management of real-time client-side data updates, server side data updates and system configuration updates.

The application server 106 communicates with enterprise data sources 108, such as CRM data sources, ERP sources, financial system resources, legacy data stores, and the like. The exemplary enterprise data sources illustrated in FIG. 1 include data including “Siebel” software from Siebel Systems, Inc. of San Mateo, Calif., USA; “Oracle” software from Oracle Corporation of Redwood Shores, Calif., USA; “SAP” software from SAP AG of Walidorf, Germany; and legacy software. The administrator application 110 and a developer application 112 communicate with the application server 106, which also stores metadata 114 for the system, as described further below.

The application server 106 provides data manager, configuration, and data connector web services for data interchange and updating, user authentication, security, and logging services. The application server also handles business process management in the form of business information and rules.

The mobile client 102 also includes a datastore 116 that includes a relational data base 118 that stores business data 120 and also a relational database that stores metadata 122 for application execution on the mobile client. An application 124 that is installed at the mobile client 102 includes various software components that perform suitable functions. For example, the application might comprise a field service application that informs field service personnel as to a location at which service has been requested, explains the nature of the service request, and provides for logging the service visit and settling the account. The application 124 may include multiple applications that process the data requested by the mobile client 102.

The administrator application 110 and developer application 112 together comprise a “Studio” component 130. In the illustrated embodiment, the administrator and developer are provided as two separate applications, and provide a means to configure the system, including the metadata data and application interfaces.

The system 100 comprises a mobile enterprise platform that supports the service application 124. The system provides a set of Web services that effectively deploy and manage mobilized software solutions to enhance mobile business processes. Common examples include integrating to CRM or ERP, sales force automation (SFA), and customer support and help desk functions for an enterprise. Such enterprise applications depend on cross-application interaction, in that data from one function or system is often used by a different function or system. When executed on the mobile client, the existing application functionality and enterprise information is utilized among multiple enterprise software applications, legacy data systems, and mobile workers. In this way, a significant return on investment can be achieved for these applications and for the mobile enterprise platform.

The mobile enterprise platform 100 provides Web services that simplify the use of mobile clients and associated portable devices in the field. These Web services include a data manager function, a configuration function, and a connector function. These will be described in greater detail below. The applications 124 that are installed on the mobile clients 102 can be fully functional in any connected or disconnected state, after they have been properly initiated by the application server 106.

III. Logical Architecture

Any client application that makes use of the Mobile Enterprise Platform illustrated in FIG. 1 will utilize the system components illustrated in the block diagram of FIG. 2. These components include:

-   -   Business Objects—programmable objects based on business         concepts, combining fields and relating information from         different enterprise data sources. (e.g. data sources such as         Customer, Contacts, Assets, Tasks, etc.).     -   Business Rules—custom logic to enforce business processes         utilizing business constants with checks applied against         business data from the enterprise data sources.     -   Business Constants—A user-configurable variable for use         throughout the client applications, and client and server-side         business rules (e.g. Business Rules, Warning Messages, and the         like).     -   Datasource Connectors—data source connectors designed to         seamlessly provide access to a wide variety of enterprise data         sources (e.g. databases such as those formatted according to         Oracle and SQL Server, messaging systems such as MQ Series or         MSMQ, CRM applications such as Siebel or Peoplesoft, generic web         services, and so forth).     -   Business Process—metaphors, such as a “Force Flow” process of         Dexterra, Inc. of Bothell, Wash., U.S.A., that defines a         form-to-form navigation paradigm for modeling business         processes.     -   Forms—a combination of standard visual display screens (e.g.,         View, Edit, Find, and the like) with event driven logic that are         designed to show information, gather information, and direct the         user through a given business process, referred to herein as         either a “ForceFlow” or a “FieldFlow”.     -   Views—A modifiable representation of the data identified from an         enterprise datasource or application that is utilized by one or         more Business Objects.     -   Filters—A Filter that can be applied to a View to modify the         data available to a Business Object.

These components can be used to specify the configuration (logical architecture) of any client application that is constructed utilizing a technology framework such as the Microsoft Corporation “.NET” and tools such as Microsoft Corporation's “Visual Studio NET”. Those skilled in the art will be familiar with such programming tools to specify an application and its associated data objects.

The Mobile Enterprise Platform illustrated in FIG. 1 is implemented as a metadata driven framework. The framework provides integrated client and server web services, enabling the connection, configuration, and data management services necessary to deploy fail-safe, mission-critical mobile enterprise solutions.

FIG. 2 illustrates that, in the mobile enterprise platform of FIG. 1, the structure of relational database tables and external application business objects are mapped to views as metadata. One or more views are consumed by Business Objects, also defined in metadata, which are in turn utilized by the mobile application. The mobile application utilizes a client framework, referred to as the “Dexterra Smartclient”, which manages the instantiation of the Business Objects, Local Data Access to the underlying physical database that resides on the mobile client device, Device integration, as well as the client-server data communication via the data manager and/or connector web services. Within the platform, specifications for all logical layers (e.g., Business Objects, Views, Filters, and Connectors) are defined and maintained within the metadata.

The mobile enterprise platform is architected as a logical stack, designed to insulate layers in the logical architecture from all but non-adjacent members. At the bottom of the logical stack, the Target layer, is data that resides in back-end, enterprise data sources. The platform works with the source data in place, and does not require information within the back-end system of record to be replicated to a middle-tier replication database. That is, no interim datastore is needed. This provides flexibility in design, as well as real time data access and can help reduce total cost of ownership of the platform and applications, and assists simplification of data management processes.

The next layer up in the logical stack is the Connector layer. The Connector layer provides a programmatic construct that describes the back-end datastore to the application server in a relational format. The information regarding how to connect to an enterprise data source, as well as the security settings (such as authentication methods and user and group definitions) are stored within metadata, and are maintained using the Administrator component.

The next layer in the stack is the View layer, which comprises objects that provide a one-to-one mapping to an object or table in a back-end, enterprise data source. For example, if a back-end system has a table called CUST_ADDR (customer address), and data from that table is required for use in an application, then a View will be created in the Administrator component. The Administrator View might be called, for example, CUSTOMER_ADDRESS, to represent that data in the environment of the mobile enterprise platform, outside of the enterprise data sources. It should be understood that a View has properties that correspond to the properties or columns of the data object in the back-end system. However, it is not required that all properties in the back end data source are required as properties in the View. Indeed, the properties required are defined in the administrative component and stored as metadata In the example just provided, the properties might include fields such as ID, STREET_ADDR, CITY, STATE, and ZIP_CODE.

Additionally, the user can define the data types of the properties within the View, and these data types can be independent of the data types of the corresponding properties in the enterprise data source. Other options of the view properties that can be identified are unique identifier, read only, indexing, required property and length. All the above information is stored as metadata.

The View layer also provides an indication of data conflicts, and provides a means for resolving such conflicts. Data conflicts can occur, for example, whenever there are data changes between what is being uploaded from the mobile client and what exists at the server. Resolution of such conflicts can be performed at the View layer, enforcing business rules such as permitting the most recent data change to always take precedence, or permitting data changes from a particular source (e.g., either the mobile client or an enterprise data source) to take precedence depending on the data type (e.g. field data or customer account data). This is described further below, in conjunction with the Data Manager Web Service.

As illustrated in FIG. 2, the Views can be defined against multiple objects in multiple datastores, thus providing flexibility in application deployment and in the use of in-place systems, without the burden of data replication. As with the Connectors, the definitions of Views are stored in metadata, and are managed with the Administrator. Those skilled in the art will understand details of data definitions in metadata, without further explanation. As noted above, Filters can be applied to the Views, to modify the data that is passed to the next layer. The Administrator provides View management features, including a Views Wizard that automatically creates Views based upon the object interface or table definition of the back-end datastore objects (from the enterprise data sources).

The next layer up in the FIG. 2 diagram includes the Business Objects, which are mapped, or associated with, one or more Views. A Business Object of the platform is the programmatic entity with which a developer will interface with when building customizing mobile applications. The Business Objects include multiple properties, each of which can be of a simple data type, or can be another Business Object. Because the Business Objects of the platform can be mapped to multiple Views, developers can work with a single entity that represents data sourced from multiple, heterogeneous data sources. Thus, a single Business Object defined in accordance with the mobile enterprise platform of the invention can include data from multiple, potentially incompatible enterprise data sources, such as from different proprietary formats.

In creating or modifying applications for the mobile applications and mobile client devices, developers can interact solely with the Business Object layer. This insulates the developers from any requirement to understand or interact directly with the back-end systems (enterprise data sources) for the source data. In this way, the Business Object layer provides an object-based interface for application developers, abstracting the details of persistence and retrieval of data. There is no need for the developer to directly interact with the local datastore on the mobile device. In addition, due to the nature of disconnected data, the mobile client, through the Business Object interface, automatically manages the processing of data changes, by storing data changes locally in the client that will be passed to the application server during an Update process. This further insulates developers from this rote programming task.

The Business Objects exist on the mobile client device as metadata, and are also managed using the Administrator (FIG. 1). The use of metadata throughout the mobile enterprise platform provides an environment in which the attributes and behavior of most data entities can be configured through a graphical user interface rather than coded.

The metadata-driven nature of the mobile enterprise platform enables performing business processes on the mobile client through a stateless server architecture. Through the metadata, the mobile application can be configured and customized. The metadata defines the structure of the business objects referencing the business enterprise data to the mobile device and defines the events that trigger business rules that govern the business processes.

The metadata database contains the reference of the cross-functional, cross-application back-end business information that is exposed through the Connectors to configure a business object. This process is accomplished through the Studio component (FIG. 1) to configure and reference the connecting enterprise data source business information with the Business Objects. This provides the path to the specific data for the mobile applications, ensuring that no business data from an enterprise data source is stored in its native data format on the application server or on any other interim datastore of the system for data updates. This non-invasive and real time synchronous approach using the metadata permits the mobile enterprise platform to effectively connect to back-end systems with a minimum amount of disruption while maximizing cross-functional data access, data consistency, and data integrity.

IV. Mobile Enterprise Platform Components

A. Mobile Applications

As noted above, the mobile client 102 (FIG. 1) can include installed applications 124 that implement business processes of the enterprise. The application can leverage the mobile enterprise platform described above, and demonstrates how the application instantiates the business objects which drive the business process configured in metadata.

For example, Task or Work Order information would be provided to the mobile application through views and would be accessed via a business object. In retrieval of the business data via the view definition, using the data manager web service, the business object can deliver the business data to the mobile application to describe the tasks. This data is stored on a local relational database on the mobile device. When an update to the task data is committed to the task business object in a request from the application, the Smartclient application will persist the changes to the view defined datastore on the mobile client, then the Smartclient manages the data updates back to the original data source via the data manager web service, ensuring data integrity and consistency.

By utilizing the depth, breadth, and power of web services (e.g., connection, configuration, and data manager services) that are available in the mobile enterprise platform described herein, a large suite of mobile applications can easily be constructed, including applications such as sales force productivity, customer service, and support solutions. Such applications can be integrated with a broad set of vertical applications including oil/gas, healthcare/medical and financial service industry solutions.

B. Server Components

The application server 106 is a type of metadata-driven platform application and provides information, applications, and business processes to the mobile client, and ensures managed data integrity between the mobile enterprise platform and a host of back-end enterprise data sources. The application server is a process-based, high performance solution built on the “.Net” technology from Microsoft Corporation of Redmond, Wash., U.S.A. Using the “.Net” technology, the mobile enterprise solution is a framework that is Web Services native through the use of XML and SOAP for data exchange and transport. The application server provides three core Web Services, as shown in the functional architecture diagram of FIG. 1:

Connector Web Service

-   -   The Connector Web Service delivers non-invasive integration of         the existing enterprise applications infrastructure while         maintaining control of the Data-Integrity Conditions between the         mobile clients and the discrete enterprise data sources.

Configuration Web Service

-   -   The Configuration Web Service manages the metadata defining the         business data, business objects, business rules, business         constants, and system configuration such as authentication,         logging, security, and roles that encompass the mobile         applications that are passed to the mobile client—the component         application that is resident on the mobile device.

Data Manager Web Service

-   -   The Data Manager Web Service orchestrates the update         interactions between the mobile client application, the         application server, and the third-party enterprise data sources.         Additionally the Data Manager Web Service provides the ability         to directly communicate with the connector layer for real-time         queries. The Data Manager Web Service delivers flexibility in         the manner that manages the various conditions concerning         multiple updates by multiple users to the multiple enterprise         data sources to enforce the integrity of the data. The Data         Manager Web Service can do this via the application server or         direct to any API and/or third-party published Web Service.     -   In this way, the Data Manager Web Service can manage deployment         of application updates and data changes throughout the mobile         clients of the system.

Each of these components will next be described in greater detail.

1. Connector Web Service

The Connector Web Service is designed to support communication with any ODBC-compliant data source or Web Service API. The Connector Web Service allows a customer to define and build views based on data stored in one or more third-party systems. The Connector Web Service has a published interface that allows for standard bulk updates as well as real-time data access from a mobile client.

The Connector Web Service provides the physical layer connection between the application server meta-application and the specific interface of the enterprise data sources. The connectors support database dispute management and notification services, transaction management, and error handling. In a default customer configuration, the mobile enterprise platform system is deployed to customers with an ODBC or Web Service connector. Those skilled in the art will be able to produce connectors to the most common enterprise systems, such as Siebel, SAP, PeopleSoft, Oracle, SQL Server, and the like.

For example, an “Oracle” applications connector allows a customer to make calls to Oracle support services, either through the closest data constructs the customer has to APIs (such as PL/SQL procedures) or directly to the enterprise database itself via ODBC. As with all of the ODBC connectors the dynamically interrogation of the RDBMS schema is automatically executed, exposing the specific physical design of the database. This gives the customer a hierarchical view of the actual interfaces into that system.

FIG. 3 shows an example of how the Connectors interface the enterprise data sources to the mobile enterprise platform. On the left side of FIG. 3 are representations of multiple enterprise data sources, including an ERP data source 302, a CRM data source 304, an HR/Finance data source 306, a Legacy/ODBC data source 308, and can include other Web Services or other sources (not shown). In the middle portion of FIG. 3 is a representation of the metadata 312 that specifies to the application server 314 how data from the different enterprise data sources will be stored and related in the mobile client 316, which is represented at the right side of FIG. 3.

Thus, in this example, data identified as ORDER_ID exists in the ERP data source. Data identified as F_NAME and L_NAME exists in the CRM data source. Data identified as CRED_LIM exists on the HR/Finance data source, and data identified as WARRANTY is stored in the Legacy/ODBC data source. All of these identified data are stored in enterprise data sources, such as at back-end office systems.

In the metadata 312, the data definition from the enterprise data sources is mapped to views that are used to create the data store on the client and store the relevant business data on the mobile client from the enterprise data sources in a relational database. Access to this business data is performed via a the business object layer defined and stored in metadata on the mobile client. As shown in FIG. 3, the ORDER_ID from the ERP data source is mapped to a business object property called OrderID, whos relational definition is stored in metadata 318 on the mobile client 316 and utilized by one or more the mobile applications also defined in metadata. The F_NAME data from the CRM enterprise data source is mapped to (stored into) the FirstName business object property definition stored in the mobile client database, and the L_NAME data is mapped to the LastName business object property. Similarly, the CRED_LIM data from the HR/Finance data source is mapped to the CreditLimit business object property, and the WARRANTY data from the Legacy/ODBC data source is mapped to the Warranty business object propery. Thus, data from the potentially dissimilar and incompatible disparate enterprise data sources 302, 304, 306, 308, 310 are delivered to the mobile client through the Data Manager Web Services to the local data store (represented by the lines from the enterprise data sources to the application server 314) in the proper format for access using one of the business objects on the mobile client (indicated in the mobile client 316 with actual values).

Connector Types

The connectors that are supported by the Connector Web Service include the following three connector types:

-   -   1. The Web Services connector is used when the mobile platform         is connecting to a third-party system (a) that is either non         ODBC-compliant, or (b) does not allow ODBC/RDBMS connectivity,         or (c) whose interface is defined by a standard API and can be         wrapped and defined by Web Service Descriptor Language (WSDL).     -   2. The ODBC/RDBMS connector is used when connecting the mobile         platform to a third-party system (a) that is ODBC compliant         and (b) allows for direct ODBC/RDBMS access and (c) whose data         is located physically within the same LAN environment or         accessible via a communication protocol supportive of the         transport (such as RPC, TCP, etc.).     -   3. The API connector is similar to the Web Services Connector         but (a) requires the API to be accesible via non internet         protocols such as RPC and (b) is used if the Web Services         Interface is not available.

Reading schema, via the ODBC/RDBMS connector, information is accomplished through the use of the Studio portion 130 (FIG. 1) of the mobile enterprise platform, using the Administrator application. The Studio portion is used to configure the View definition mapping to the backend data source and map the definition of one or more Views to one or more Business Objects. When defining the View definition or mapping the Views to Business Objects, using the administrator, the information is stored as metadata. During an update process with the application server and enterprise data source, the metadata is read to determine how to read, persist and remove the data (select/insert/update/delete functions) while managing and enforcing the data integrity using such functions as conflict detection/resolution, transactions both inherent and compensating where appropriate.

Using the ODBC/RDBMS connector, data is read, persisted and/or removed via ANSI SQL statements and/or stored procedures in the case of Microsoft Corporations SQL Server or Oracle's RDBMS (8i, 9i, etc.). Using the Web Services/API connector, data is read, persisted and/or removed by calling the appropriate API function or method for the transaction.

2. Configuration Web Service

The Configuration Web Service consumed by the Dexterra Studio provides an easy interoperable way for administrators, business analysts and developers to implement, configure, and administer the Dexterra Mobile Enterprise solution. The Configuration Web Service allows for easy manipulation of the metadata used to configure and customize the data and process definitions of Mobile applications. This service will be better understood with reference to the features of the Administrator component, which is described in greater detail below.

3. Data Manager Web Service

a. Update Process Model

An update process model is utilized in the system, in which mobile applications update their locally held data (either the application or its business objects) with the backend enterprise database using a set of core “.Net” components that are exposed as Web Services for easy interoperability.

The Data Manager Web Service updates the mobile application and all its associated business objects defined data. The Update process model enables two-way data transfer between the enterprise datasources via the application server and the mobile client, allowing updates to be made while the mobile client is connected to the network, merging the updates between clients when they are connected. When in the disconnected state, updates are managed in the client environment, until a time at which a connected state is attained and the update request can be initiated.

The update process model takes the “all or nothing” approach. If a failure occurs before the entire stream is downloaded from the application server onto the mobile client (or before the entire stream is uploaded from the client to the server), then the Data Manager Web Service on the application server does not receive a confirmation on the download transaction (or upload). As a result, the server carries the intelligence to manage the client state as to whether it requires a roll back of data or simply a retry. When the mobile client performs an update process operation the second time, the application server takes into account the original information state and may either deliver the results if the application server has processed or process again in the event all the required information was never received by the application server thus enforcing the reliable deliver of information once and only once between the mobile client and application server. This, in event, enforces the integrity of the data as it moves from mobile client to one or more back end data sources.

-   -   b. Update Process Breakdown

Two types of update processing are supported:

-   -   1: Get Latest: In this update type, the mobile client makes a         request to get the latest information from the enterprise data         sources via the Dexterra application server. The Dexterra         application server process the request and retrieves the         business information from the multiple data sources using the         Dexterra Connector Web Service and delivers the business         information to the mobile client.     -   2: Update (2-way update): In this update type, records on both         the client and server end are interchanged, enforcing the         integrity of the data on both the mobile client and the back end         enterprise data sources using Dexterra Conflict Resolution         configured parameters.

c. Date/Time Stamp

Date/Time Stamp is a setting where a specific field or property is identified in a single record source as date/time stamp and updated upon any insert/update or delete and the application server will use this to determine whether data has been changed on either the back end data source or the mobile client.

Manual is a setting where there is no specific field or property to identify a conflict situation in a single record source therefore the application server compares all the field or property data to define uniqueness and detect whether data has been changed on either the back end data source or the mobile client.

d. Conflict Detection/Resolution

Conflict resolution describes the rules used to arbitrate on data conflicts caused by changes made between a mobile client and one or more back end enterprise data sources. This is performed first by identifying the conflict (Detecting and Determining the type of conflict) and then resolving (Resolution) the conflict in one or more various ways.

The application server can detect conflicts in one of three ways: Revision, Date/Time Stamp, or Manual, as well as identify a conflict situation by row or column level.

Revision is a setting where a specific field or property is identified in a single record source as revisioned and the application server will use this to determine whether data has been changed on either the back end data source or the mobile client.

Depending on configuration of the application server, Conflicts are resolved in one of four ways: First Update Wins, Last Update Wins, Admin Resolution or Server-side Rule

(i) First Update Wins

Under the First Update model the application server will only accept changes of any record that is the first one to make an update. If a record is first updated by the back end data source and a conflict is detected by the Update Web Service, instead of returning an error, the Data Manager Web Service will drop the version provided by the client and return a copy of the latest version of the record from the back end enterprise data source to the mobile client.

(ii) Last Update Wins

Under the Last Update Wins model, the server need not detect conflicts. Instead, it simply persists the changes from the mobile client to the back end enterprise data source overwriting the current record in the back end enterprise data source.

(iii) Admin (or Manual) Resolution

When configured for Admin/Manual resolution, the server will treat all conflicts as requiring manual intervention to resolve and will return a copy of the current record from the back end enterprise data source and optionally notify via any nofitication service (SMS, Emai, etc.) that a conflict situation has arisen and allow for resolution via the Dexterra Administrator. Doing so allows for column level conflict resolution since the Administrator determines the values to reapply back to the back end enterprise data source selectively.

(iv) Server Side Rules

Customizable Server Side Rules can be created to determine more programmatically and specifically how certain conflict situations should be resolved. For example, a conflict may be resolved based on the values of data in a record. This flexibility allows for complete control over the specific actions surrounding a conflict resolution scenario.

e. Client Deployment from the Server

The application server contains the definition of one or more mobile field applications that are to be downloaded to the mobile client, including the Forms/screens represented as tasks (referred to as “FormFlows”), data-interactions (referred to as a “FieldFlow”), and groups of FormFlows and FieldFlows constructed into a Business Process/Workflow (called a “ForceFlow”). The FormFlows, FieldFlows, and ForceFlows are described further below. The application definition also includes the configured metadata associated to an application such as View, Business Object, Business Constants definition. Also included in the deployment is the specific business data from one or more back end enterprise data sources required to run the mobile client in an “occasionally” connected state.

The application server provides the foundation on which to deliver and manage applications and to connect to existing enterprise data sources and systems. The mobile enterprise platform applications are distributed and managed to the mobile devices, such as “Pocket PC” and “Tablet PC” devices, by the application server, providing a highly manageable administration of all user interfaces in the field.

C. Administrator Components

As noted above, the Administrator component 110 (FIG. 1) allows system administrators to perform changes that are relatively regular or frequent. The Administrator component provides access to decision variables, drop-down list content, and other information in a format appropriate for business analysts or administrators to manage. This approach to administration allows system administrators to extend many functions down to the Administrator level without compromising system integrity.

For example, data comprising business information that is used to define the business processes of the enterprise can be received through a Business Objects definition form. The Configuration Web Service provides access to this aspect of the Administrator component.

The Administrator 110 executes as part of the “Studio” portion 130 of the system (FIG. 1). Through the Administrator, a customer administrator may choose from a list of Business Objects and, for a selected Business Object, may provide a description. Properties for the selected Business Object also may be selected, from a list. In this way, an easy-to-use interface is provided for configuring and modifying the application that is installed onto the mobile devices.

The Administrator 110 also supports security management features that provide a mechanism to add and change users, integrating with existing directory services and/or LDAP or Active Directory Services in a “two tiered” security model. The security management then “authorizes” that client based on the information received in the authentication process to determine who the client identified. Thus, a high level of security is provided, because the application is secure on the client (requires username/password for access) and the downloaded data is secure on the client, and the system access (through the SQL CE interface) is controlled. There is a “device disablement” process built Into the system through the configuration desktop, and a user can be disallowed access to the device application and data. Additionally, there is a significant amount of history tracking, logging, and metrics built into the system for auditing purposes. Other models of security are supported, including IIS Authentication support and DB/third-party system level security/authentication, all over Secure Socket Layer (SSL).

The Administrator 110 also supports a configuration management scheme that permits defining Groups for which security will be managed, and permits identification of administrators for the defined Groups within a Role Based model. Finally, for each Group, a level of administrative permissions can be selected from a list. Thus, this page of the configuration service application provides a convenient means of managing security features.

Fast, efficient, reliable connectivity to existing enterprise applications and data stores is important to the operation of the system. The application server provides services for fast integration to existing enterprise data sources and installed software applications, such as Siebel systems or Oracle systems, or to custom in-house developed systems.

Through the Security Settings feature, an administrator can define a server name and access connection string, as well as corresponding mobile client information for the client datastore of such data. Other security settings can be specified through the Security Settings window, such as authentication, authorization, and synchronization data settings.

Performance monitoring is supported to allow visibility into performance of the application server and other administrative functionality. The performance monitoring includes an error logging capability. The Administrator component 110 can be used to define system performance metrics that can be selected for logging. Through the Administrator, Web Services can be selected and configured, connectors can be specified, and login and synchronization operations can be selected for tracking.

A feature of the FIG. 1 system called “Dexterra Studio Developer” allows the programmer to perform changes to the mobile application. In the illustrated embodiment, the Dexterra Studio Developer is deployed as plug-ins to the “Microsoft VS NET Integrated Development Environment” (IDE) using Visual Studio Automation. The Dexterra Studio Developer provides professional services and engineering personnel with a robust, object oriented workspace in which to develop screens, define workflows, and create User Interface elements that enforce business rules using a common development environment and language such as Microsoft Corporation VB.NET or C#. A series of designers helps guide the user through specific steps of application development without reducing the power of this application development platform. These designers help the programmer create forms and steps that bind to the defined metadata, using the Configuration Web Service, that will interact effectively with the application server at runtime, thereby extending the flexibility and power of the system for any administrative information or back end configuration that may require more rapid or frequent change.

D. Client Components

As noted above, the client 102 (FIG. 1) in the enterprise platform architecture provides a framework in which the mobile application allows the use of role-based business processes using techniques referred to as “ForceFlow”, “FieldFlow”, and “FormFlow”, and using Web Services, thus enabling communications between the mobile client and the application server and the enterprise data sources over a LAN/WAN network, such as the Internet, via wired and wireless connections. The mobile application running on the client devices functions in a manner that is optimized for small form-factor devices providing an exception, easy to learn user experience.

In the illustrated system, the client is an object framework that is built utilizing the “.NET Compact Framework” of Microsoft Corporation that is metadata-aware. The client component enables delivery of enterprise-class application functionality on the mobile devices, which preferably operate according to the “PocketPC” operating system or Microsoft Tablet PC operation system from Microsoft Corporation. The client component also integrates with existing “PocketPC” functionality to provide seamless integration with Calendar, Task, and Today screen functionality of the PocketPC interface. It thereby provides a stable, effective environment in which to work.

FormFlows, FieldFlows, ForceFlows

Any business process tasks or steps or operations in the form of display screens are called “FormFlows”. The FormFlows are used to initiate process interactions called “FieldFlows” that allow the initiation of business processes, which are referred to as “ForceFlows”. The FieldFlows allow launching of “out of band” ForceFlows to bring real-world elasticity to the business processes.

The FormFlows are broken into three categories: (1) Information; (2) Activity; and (3) Update. An Information FormFlow is a screen that shows information needed by a mobile user to fulfill the next logical task in the business process. An Activity FormFlow is a screen that shows something the user may need to do or perform. An Update FormFlow is a screen that is displayed when a mobile user is prompted to enter data that will be returned to the host applications (the enterprise data sources).

A FieldFlow may be required, for example, when a part might have failed and a search of inventory databases might need to be performed to see if any matching parts or similar problems with solutions exist and are available, called a lookup, or a FieldFlow may be required when a part might need to be ordered or assigned or scheduled for delivery to the client, a FieldFlow called an update.

A ForceFlow is a business process, and therefore is a collection of FormFlows and FieldFlows. An example of a ForceFlow would be time, travel, and expense recording that is associated with a job or dispatch event.

Referring back to FIG. 2, this block diagram shows how the relationships between columns and fields in the target application are related to information In the “FormFlows” (steps in the business process represented as “Forms” in the application) and are then associated into the ForceFlow (the business process). There can be many Business Objects in one FormFlow and potentially more than one FormFlow in any business process.

Filters allow characteristics and conditions to be placed onto the data when referenced in the mobile application. For example, data type (e.g., Date), valid types (e.g., only Monday through Friday), and any conflict conditions may be detected. Other filter characteristics and conditions can be configured.

Views define the data and storage location for use in one or more Business Objects, and the Business Object can be based on one or more Views. This allows additional characteristics to be associated. For example, a Business Object may be referred to as “Customer”, which may Include standard customer details; location, contacts, inventory, and also SLA and other attributes that the application would like to classify as Customer but not held in the same Target table or even Target application.

V. Update Between Client Device and Administrator

In the mobile computing environment of FIG. 1, update operations occur between the mobile client devices 102, also referred to as Field Agents, and the fixed servers, also referred to as the application server 106 or Administrator. The Field Agents will be operating frequently without an active network connection, in an offline mode, and will then be relying on data maintained in local device memory. Nevertheless, the Field Agents can have access to corporate enterprise data, such as tasks and action items, product parts data, inventory, and the like, even from remote sites.

Remote access to enterprise data is possible because the Field Agents can work with local copies of relevant data while in an offline environment. Changes to the data can be propagated to a backend database after the Field Agents return with their mobile device back to an online mode. In the FIG. 1 system, that remote access and change propagation are implemented by utilizing the business data and business objects that are distributed from a backend enterprise database to the remote devices. That is, the remote devices maintain a local copy of the relevant database and use a synchronization operation to maintain consistency with the backend enterprise data. In this way, synchronization occurs in response to user selection of “Update All” to run Upload and/or Get Latest.

A. Synchronization Model Using Update Operations

As noted above, in the FIG. 1 system, the mobile applications synchronize their locally held data, comprising the application and its business objects, with the backend enterprise database using a set of core “.Net” services that are exposed over the Internet using Web Services techniques. The .Net and Web Services techniques provide enhanced interoperability with other Web-based applications. Those skilled in the art will be able to implement the functionality described herein using the Net and Web Services techniques without further explanation. The requisite data for the mobile devices is determined by the metadata specified for the mobile devices.

The update operations of the mobile enterprise platform will be better understood with reference to the following description of a mobile application that comprises a field services application, such as for a field service technician (repair), with respect to communications with the application server to process business information from enterprise data sources in real time.

Initially, at the start of a business day or initiation of a service run, an end user (the field service technician) would start the mobile application and initiate an Update operation that downloads service call dispatch information and the like. During the Update operation, the application server will ensure that the mobile client contains the application data and business information necessary for operation of the mobile application and the latest set of tasks (field service calls). As noted above, the business information might come from a variety of different enterprise data sources. The business information might include the customers to be visited, the products to be serviced, parts that might be needed for repair, and the like. After the Update operation has been performed, there is no need for a network connection (wired or wireless) for operation of the client application.

FIG. 4 is an illustration of a display screen 402 from the mobile client, showing a “Queue” page that is generated by the mobile application after the application is launched on the mobile device. The Queue page represents a FormFlow of the mobile application. The Queue page shows a repair queue of customers who have requested a service call. When the mobile device user selects the “Update All” display tab 404, the device initiates an Upload operation, which comprises a synchronization sequence of tasks performed by the mobile client and the application server. After the update, the Queue display page will show all the current items in the Queue and data will have been updated, as described further below. Thus, the Update operation is performed each time the “Update All” tab is selected on the Queue display page.

FIG. 5 is a flow diagram that illustrates the Upload operation performed by the system illustrated in FIG. 1 in response to the “Update All” 404 selection to execute the synchronization tasks. FIG. 5 shows that the synchronization update tasks include “Upload” processing 502 and “Get Latest” processing 504. FIG. 5 shows that the Upload processing uploads, from the mobile client 102 to the application server 106 (FIG. 1), all the data records on the mobile client that have been changed or modified since the last previous synchronization was performed. The data records for the uploaded data will be specified in terms of the metadata for the system, as described above.

After the Upload 502 is complete, the mobile device requests the “Get Latest” operation 504 from the application server. During the Get Latest operation, the latest changes to the mobile application, as well as relevant data updates, are delivered from the application server to the mobile client. As described above, the data records comprising the application changes and data updates are specified in terms of the metadata for the mobile application. The Upload and Get Latest operations are described further below.

1. “Upload” Operation

FIG. 6 is a flow diagram that illustrates the operations performed during the Upload process 502 of FIG. 5. The first operation in the sequence 602 occurs when the mobile device user selects the “Update All” button. As an option, the user can be presented with a choice of performing the Upload or not performing the upload as part of the Update processing. Thus, it is not required that Upload processing take place at every instance of the Update All processing. FIG. 6, however, illustrates the Upload processing that takes place upon Upload being selected by the user.

The next operation, represented by the flow diagram box numbered 604, comprises the mobile application checking to determine if there are any changes in the client-stored data record since the time of the last synchronization. If there are no changes, a “No” outcome from the decision box 604, then an alert message is provided to the user 606, indicating that there are no changes in the client record that should be uploaded to the application server. The Upload process is then terminated, as there are no further tasks to be performed.

If the mobile application determines that there are changed client data records to upload, a “Yes” outcome at the decision box 604, then a connection is established with the application server, as indicated by the flow diagram box numbered 608. In the next operation, represented by the decision box 610, the mobile application determines if the current user account is valid. This operation might involve further communications and checking with the application server, or it may involve checking stored data in the client. If the mobile user is not verified as a valid user, a “No” outcome at the decision box 610, then an alert message is displayed to the user, indicating that the user account is not valid, and the Upload process is terminated, because the mobile user does not have permission to carry on further operations. The “No” operation is indicated at the flow diagram box numbered 612. If the mobile user is verified as a valid user, a “Yes” outcome at the decision box 610, then at box 614 the changed mobile user records at the client device are sent from the mobile device to the application server.

After the changed records are received, the system checks for conflicts in the changed data. This operation, represented by box 616, involves the application server comparing the data records received from the mobile device with the corresponding data records at the application server, or with the third party enterprise data sources. More particularly, the client sends the server the original data record and the changed current status (value) of the data record. The server compares the received original data record and current data record from the client along with the data record at the enterprise data source. This will identify any conflicts between the three.

At the decision box 618, the application server checks for any conflicts between the uploaded client-changed data and the corresponding source data. In the FIG. 1 system, the application server utilizes one of three conflict detection schemes: Revision, Timestamp, or None. As described in greater detail below (see Section V.B, Conflict Detection and Determination), a data conflict arises when two data records having the same primary key contain inconsistent data on the same field. During the upload synchronization process, the application server compares data records received from mobile clients against data in the third party enterprise data sources. A conflict can arise, for example, if a mobile client changes a customer telephone number and synchronizes (uploads) the change to the application server, which then updates the corresponding data record at the enterprise data source. At a later time, another mobile client changes the telephone number of the same customer and attempts to upload that new data to the application server. The application server will receive the data change from the second mobile client, and will recognize that the new data is different from the data originally stored at the enterprise data source and also is different from the data received from the first mobile client, which also was different from the data previously stored at the enterprise data source. This is a data conflict situation, because the application server must now decide how to choose which mobile client's data to keep (synchronize) at the enterprise data source. Before data resolution can occur, the system must first detect that a conflict exists and must also determine what type of conflict is involved, either in a data table row or a data table column. That is, if there are any conflicts detected, the application server next determines whether the conflict has occurred at the row-level or at the column-level. Conflict determination is described in greater detail below at Section V.B, Conflict Detection and Determination.

If there are no data conflicts identified during the Upload operation, a “Yes” outcome at the decision box 618, then at box 620 the application server updates the data records at the application server to indicate that there are no conflicts. If data conflicts are identified, a “No” outcome at the decision box 618, then at box 622 the application server resolves those conflicts, as described further below, and then processing continues at box 620, where the application server data records are updated to indicate the resolved data as being the correct, current data records. After the application server data records are updated at box 620, the application server returns any updated data records to the mobile device at box 624. This concludes the Upload processing. Thus, the server only sends back updated data records, if need be. That is, if any data conflicts are resolved in favor of the data that was received from the client, then the client will not receive back such data. If a conflict is resolved to a data record state different from that received from the client, then the client will be sent back that updated data record, to replace the data previously maintained by the client. For example, if a data record at the client was originally with a value of “A” but was changed by the user to “B”, then “A” and “B” will be sent to the server. If the value of the data record at the enterprise data source is “C”, and if the server resolves that conflict to “C”, then the client will receive back “C” as a replacement value. If the conflict is resolved to “B”, then the client will not receive back the data record.

2. “Get Latest” Operation

The Upload processing described for FIG. 6 was to propagate changes from the mobile client to the application server. As part of synchronization (Update All) processing, changes to the mobile application itself and to relevant application data are propagated from the application server to the mobile client. This application server-to-client update is achieved through the Get Latest processing.

FIG. 7 is a flow diagram that illustrates operations performed during the Get Latest processing 504 of FIG. 5. The first operation, represented by the flow diagram box numbered 702, occurs when the mobile device user selects the “Update All” button. As an option, the user can be presented with a choice of performing the Get Latest sequence or not performing the Get Latest sequence as part of the Update processing of FIG. 5. Thus, it is not required that Get Latest processing take place at every instance of the Update All processing. FIG. 7, however, illustrates the Upload processing that takes place upon Get Latest being selected by the user.

The next operation, represented by the decision box numbered 704, comprises the mobile application checks with the application server to determine if there are any changes in the mobile application or in application data stored in the mobile device. If there are any changes that should be propagated to the client, a “Yes” outcome at the decision box 704, then an alert message is displayed at the mobile device (box 706) to inform the user that all user data changes should be uploaded before server-side changes are received. The alert message at box 706 involves asking the user to respond to a query (decision box 708) that will initiate a user-change data upload operation. If the user does not wish to initiate an Upload operation, a “No” response at the decision box 708, then the mobile application will terminate the Get Latest operation, because the server-side updates cannot be received until user changes are first sent to the server. This ensures proper conflict resolution, in the event that conflict occurs. If the user authorizes an Upload operation, a “Yes” response at 708, then the Upload operation is performed at box 710. The Upload operation 710 corresponds to the process illustrated in FIG. 6. After the Upload operation concludes, the client device changes have been uploaded and operation continues at box 712.

The flow diagram box numbered 712 is reached if there were no client changes, a “Yes” outcome at the decision box 704, or if client changes were successfully uploaded at box 710. For the box 712 operation in the Get Latest processing, a connection is established between the client mobile device and the application server. Next, at box 714, the client user is authorized by the application server. User authorization involves checking administrative records to identify the applications installed at the client mobile device and to ensure that the client is authorized to receive updates and changes. After this verification processing is complete, the next operation is to obtain the latest updates and changes for the client device. This is implemented by executing “Get Latest” processing to retrieve the latest data from the third party enterprise data sources through the application server, as represented by the flow diagram box numbered 716. As noted above, such processing is carried out using SOAP and Web Services programming techniques.

At the decision box 718, the application server communicates with the client device to confirm that the entire SOAP package with the “Get Latest” data was successfully received at the client device. If the application server does not receive an acknowledgment from the client device that confirms successful receipt of the data package, then the download was not successful. This result comprises a “No” outcome at the decision box 718, in which case an error message is displayed at the mobile device (indicated by the box 720) to indicate an unsuccessful download, and then the Get Latest processing is terminated. If the application server receives an acknowledgment of successful data receipt, then the SOAP download was successful, a “Yes” outcome at 718, and then at box 722 the mobile application replaces the previously existing data in the client device with the downloaded changes. Next, at the flow diagram box numbered 724, a confirmation message is sent from the application server to the mobile device, confirming that the downloaded changes were successfully received and were installed. The Get Latest operation is then concluded.

3. Conflict Resolution

During the Upload process (FIG. 6), it is possible for data conflicts to occur between data records at the application server for the enterprise data sources and data records received from the mobile device. FIG. 8 is a flow diagram that illustrates the various schemes employed in the FIG. 1 system to resolve any data conflicts during Upload processing. In the FIG. 1 system, data conflict resolution occurs using either a First Update, Last Update, or Administrative technique. This is illustrated in FIG. 8 by the decision box numbered 802. When a data conflict is detected and its type (row or column) is determined, the application server will use either the First Update 804, Last Update 806, or Administrative 808 conflict resolution technique, according to which technique has been selected during initial configuration of the application server (or as subsequently modified at the Administrator component 110 shown in FIG. 1).

a. First Update Wins

Under the First Update conflict resolution process 804, the application server will only accept changes of a data record if the source of the data change is the first to make an update. That is, data changes with respect to an enterprise data source that are received from the first mobile client to send the change to the server will be accepted, but changes received thereafter from other mobile client devices will be ignored. In addition, if a record is first updated by the back end enterprise data source and a change is later received from a mobile client, then a conflict will be detected by the Update Web Service, and instead of returning an error, the Data Manager Web Service will drop the version provided by the mobile client and will instead return a copy of the latest version of the record from the back end enterprise data source to the mobile client.

b. Last Update Wins

Under the Last Update conflict resolution process 806, the application server will accept the last version of a client data change, as provided by an mobile client. As a result, for Last Update processing, the application server simply accepts the last data version provided by any mobile client, and overwrites any previous changes to the data that might have been made. Therefore, if the application server is configured to operate according to the Last Update technique, then the conflict detection operation (see box 618 processing description above) is not needed and is not performed. That is, the application server simply persists the data changes from the mobile client to the back end enterprise data source, overwriting the current record in the back end enterprise data source.

c. Administrative (or Manual) Resolution

When configured for Administrative/Manual data conflict resolution, the application server will treat all conflicts as requiring manual intervention (such as from an administrator) to resolve, and will return a copy of the current data record from the back end enterprise data source and optionally notify via any notification service (SMS, Emai, etc.) that a conflict situation has arisen and allow for resolution via the Dexterra Administrator. Doing so allows for column-level conflict resolution, because the Administrator determines the values to reapply back to the back end enterprise data source selectively.

As an adjunct to the Administrative processing, the application server can be configured to operate with Customizable Server Side Rules, to determine more programmatically and specifically how certain conflict situations should be resolved. For example, a conflict may be resolved based on the values of data in a record. This flexibility allows for complete control over the specific actions surrounding a conflict resolution scenario. As described above (FIG. 6), after the conflict is resolved according to one of the techniques 804, 806, 808, the Upload processing is continued.

B. Conflict Detection and Determination

As noted above, during the Upload operation, the application server will perform conflict detection, conflict type determination, and resolution. The application server will detect data conflicts by using a revision or a timestamp methodology, and will determine whether the data conflict is a row-level conflict or a column-level conflict. The application server will resolve any conflict using either a First Update Wins methodology, or a Last Update Wins methodology, or an Administrative resolution methodology. The application server operates according to the choices listed in Table 1 below: TABLE 1 Conflict Handling options DETECTION Revision Timestamp None DETERMINATION Row-level Column-level — RESOLUTION First Update Last Update Adminstrative

1. Conflict Detection

More particularly, conflict detection refers to identifying whether a conflict has occurred. When the application server is configured, the application server can be selected to operate with either revision or timestamp conflict detection, or none at all.

a. Revisioning

Revision conflict detection can be selected because each of the data tables in the FIG. 1 system storing business data from the enterprise data sources will include a revision number column, with a revision number for each row. When a mobile client updates a data record, it does so without altering the revision number for the data record. When the data record is returned to the application server processing, the revision number provided by the mobile client is compared to the revision number in the corresponding enterprise data source table. If the revision numbers are equal, then the update operation can proceed. If the revision numbers are not equal, then another mobile client has already updated the data record and the new data from the present mobile client has become “stale” (has been superceded).

If it is desired to detect data conflicts on a column-by-column basis, then the mobile clients must provide the original copy of the data record, in addition to the updated data. The application server can then use the original data record as a baseline to only consider conflicts where the client has modified previously updated columns.

b. Timestamp

If the application server has been configured to use the “timestamp” conflict detection methodology, then a timestamp column that is provided with every data record sent from a mobile client to the application server will be used as the basis for deciding which update, as between two mobile client updates, was applied most recently. A standardized reference is used as a time reference, such as the application server time clock. When the application server receives a mobile client update, it compares the client data record with the “master” data record at the application server from the enterprise data source and checks to determine the relative value of the timestamps from the respective data records. If the original data record at the application server contains a more recent timestamp value, then another mobile client has updated the data record and the mobile client data currently being checked contains stale data. As with the Revisioning scheme, if it is desired to detect data conflicts on a column-by-column basis, then the mobile clients must provide the original copy of the data record, in addition to the updated data. The application server can then use the original data record as a baseline to only consider conflicts where the client has modified previously updated columns.

c. None

If the application server is configured for a “None” operation scheme for data conflicts, then the mobile client must provide two versions of every record being updated: the original record that was received from the application server, and the modified data record. The application server can then compare the columns of the original data record (as received from the mobile client) with those of the data records in the enterprise data sources to determine if another mobile user has updated the data record. Even if another user has updated the data record, the application server can be configured so that conflicts are only considered if the mobile client has modified a column that has been updated previously. If the mobile client has only modified columns that have not been previously modified, then the update operation will continue.

2. Conflict Determination

Conflict determination refers to determining where in a data table a change has occurred, after a data conflict has been detected. A data change can occur at either the row level or at the column level. In the FIG. 1 system, the application server is defaulted to determine change at the row level, but the application server can be configured to determine change at the column level.

a. Row Level Conflict Determination

For determining conflicts at the row level, the application server will recognize changes made to the same row of data records having the same primary key, from two different mobile clients, as being in conflict, whether or not the changes are made to the same column. For example, suppose a first mobile client “A” changes the address column of a table row numbered “11” (that is, the primary key is 11) and then uploads this change to the application server. Next suppose that a second mobile client “B” changes the telephone information for that same row of the data table (primary key is 11). Although the data changes have been made to different columns, the same row (primary key is 11) has been altered. At the row level, when the second client of this example (Client “B”) attempts to synchronize (upload) data changes to the application server, the application server will determine that a conflict exists on the same row.

b. Column Level Conflict Determination

For determining conflicts at the column level, the application server will recognize changes made to the same column of data records. The columns of two data records being checked for conflict will be examined column-by-column for any changes. For example, suppose a first client (Client “A”) changes the address for a particular row of a data table and synchronizes those changes with the application server. Also suppose that a second mobile client (Client “B”) uploads its updated telephone number for the same data record. When the application server compares the two data records using the column-level conflict determination, the application server will recognize that although a data change has occurred on the same row, the changes exist on two different columns. For the example, the application server would determine that there is no conflict, and therefore the application server would accept both changes.

Thus, updates of customer business data as between mobile clients and the application server are achieved with the application server using the Synchronizer Web Service to synchronize the mobile device application and all its associated business objects. In this way, the mobile applications in all the mobile clients of the system can rely on a single, consolidated database.

The present invention has been described above in terms of a presently preferred embodiment so that an understanding of the present invention can be conveyed. There are, however, many configurations for mobile enterprise data systems not specifically described herein but with which the present invention is applicable. The present invention should therefore not be seen as limited to the particular embodiments described herein, but rather, it should be understood that the present invention has wide applicability with respect to mobile enterprise data systems generally. All modifications, variations, or equivalent arrangements and implementations that are within the scope of the attached claims should therefore be considered within the scope of the invention. 

1. A method of synchronizing data that is maintained at a mobile client and is shared with multiple enterprise data sources, the method comprising: receiving a request from the mobile client for synchronization of data records maintained at the mobile client with corresponding data records at the enterprise data sources, wherein the client request is received at an application server and includes metadata that identifies enterprise data sources for the requested data records and that specifies a relational correspondence between the requested data; comparing the mobile client data records and the corresponding data records of the enterprise data sources to identify any data conflicts between the two sets of data records; resolving any identified data conflicts; and updating the mobile client data records in accordance with the relational correspondence specified by the metadata, and updating corresponding data records at the application server in accordance with the metadata relational data correspondence.
 2. A method as defined in claim 1, wherein the received synchronization request includes an Upload operation request for data changes from the mobile client to the application server and a Get Latest operation request for data changes from the application server intended for the mobile client.
 3. A method as defined in claim 2, wherein the Upload operation includes receiving metadata that determines a corresponding enterprise data source to which the upload data records should be sent.
 4. A method as defined in claim 3, further including applying conflict detection and resolution rules to determine if the upload data from the mobile client should be stored in the corresponding enterprise data source or if the upload data should be refused.
 5. A method as defined in claim 1, wherein the identification of any data conflicts includes a conflict detection operation and a conflict determination operation.
 6. A method as defined in claim 1, wherein resolving data conflicts comprises resolving any conflicts according to either a First Update processing, a Last Update processing, or an Administrative processing.
 7. A method as defined in claim 1, wherein the metadata for the data records specifies conflict detection and resolution parameters that resolve data conflicts between the mobile client and multiple back end enterprise data sources.
 8. An application server that facilitates synchronizing data that is maintained at a mobile client and is shared with multiple enterprise data sources, the application server comprising: a data manager that receives a request from the mobile client for synchronization of data records maintained at the mobile client with corresponding data records at the enterprise data sources, wherein the client request includes metadata that identifies enterprise data sources for the requested data records and that specifies a relational correspondence between the requested data, comparing the mobile client data records and the corresponding data records of the enterprise data sources to identify any data conflicts between the two sets of data records, resolving any identified data conflicts, and updating the mobile client data records in accordance with the relational correspondence specified by the metadata, and updating corresponding data records at the application server in accordance with the metadata relational data correspondence; and one or more connectors that retrieve the corresponding data records from the enterprise data sources and convert the retrieved data into a relational format that defines the retrieved data from the enterprise data sources, in accordance with the metadata contained in the received request, and that return the converted data to a relational data store on the mobile client.
 9. An application server as defined in claim 8, wherein the received synchronization request includes an Upload operation request for data changes from the mobile client to the application server and a Get Latest operation request for data changes from the application server intended for the mobile client.
 10. An application server as defined in claim 9, wherein the Upload operation includes receiving metadata that determines a corresponding enterprise data source to which the upload data records should be sent.
 11. An application server as defined in claim 10, wherein the application server applies conflict detection and resolution rules to determine if the upload data from the mobile client should be stored in the corresponding enterprise data source or if the upload data should be refused.
 12. An application server as defined in claim 8, wherein the application server identifies any data conflicts by performing a conflict detection operation and a conflict determination operation.
 13. An application server as defined in claim 8, wherein the application server resolves data conflicts by resolving any conflicts according to either a First Update processing, a Last Update processing, or an Administrative processing.
 14. An application server as defined in claim 8, wherein the metadata for the data records specifies conflict detection and resolution parameters that resolve data conflicts between the mobile client and multiple back end enterprise data sources.
 15. A mobile client that processes data from multiple enterprise data sources over a mobile network, the mobile client comprising: an application that performs data processing functions and generates requests for data; a data manager that receives data requests from an application server and generates client data requests including metadata that specifies enterprise data to be retrieved and specifies the enterprise data sources from which the data is to be retrieved, wherein the data manager transmits the client data requests over the mobile network, and generates requests for synchronization of data records maintained at the mobile client with corresponding data records at the enterprise data sources, wherein the synchronization requests include metadata that identifies enterprise data sources for the requested data records and that specifies a relational correspondence between the requested data, comparing the mobile client data records and the corresponding data records of the enterprise data sources to identify any data conflicts between the two sets of data records, resolving any identified data conflicts, and updating the mobile client data records in accordance with the relational correspondence specified by the metadata, and updating corresponding data records at the application server in accordance with the metadata relational data correspondence; and one or more connectors that retrieve the corresponding data records from the enterprise data sources and convert the retrieved data into a relational format that defines the retrieved data from the enterprise data sources, in accordance with the metadata contained in the received request, and that return the converted data to a relational data store on the mobile client.
 16. A mobile client as defined in claim 15, wherein the received synchronization request includes an Upload operation request for data changes from the mobile client to the application server and a Get Latest operation request for data changes from the application server intended for the mobile client.
 17. A mobile client as defined in claim 16, wherein the Upload operation includes receiving metadata that determines a corresponding enterprise data source to which the upload data records should be sent.
 18. A mobile client as defined in claim 15, wherein the metadata specifies conflict detection operations and conflict determination operations in the event that any data conflicts are identified.
 19. A mobile client as defined in claim 15, wherein the metadata from the mobile client specifies how the application server is to resolve data conflicts.
 20. A mobile client as defined in claim 19, wherein the metadata from the mobile client specifies how the application server is to resolve any conflicts, according to either a First Update processing, a Last Update processing, or an Administrative processing.
 21. A mobile client as defined in claim 15, wherein the metadata for the data records specifies conflict detection and resolution parameters that resolve data conflicts between the mobile client and multiple back end enterprise data sources. 